Abilityai/trinity

What it solves

Trinity provides a sovereign infrastructure for deploying and managing autonomous AI agents in production. It solves the problem of relying on SaaS platforms where data leaves the security perimeter, or spending months building custom orchestration systems from scratch to handle governance, observability, and audit trails.

How it works

Trinity runs each AI agent in its own isolated Docker container on infrastructure controlled by the user. It integrates with tools like Claude Code via MCP (Model Context Protocol) to allow developers to scaffold, deploy, and iterate on agents. The platform includes a control plane for fleet-wide scheduling, real-time monitoring, and agent-to-agent delegation, with support for multiple LLM providers (Anthropic, OpenAI, Google).

Who it’s for

It is designed for developers and organizations that need to run proprietary, autonomous AI systems (from business processes to cognitive systems) while maintaining full control over their data, security, and hardware.

Highlights

• Isolated Runtimes: Every agent operates in its own Docker container for security and resource management.
• Fleet Observability: A comprehensive dashboard featuring Grid and List views, real-time telemetry, and Gantt-style execution timelines.
• Sovereign Deployment: Fully self-hostable or deployable on any cloud the user controls, ensuring data never leaves the perimeter.
• Agent Orchestration: Supports cron-based scheduling, hierarchical agent-to-agent delegation, and persistent async backlogs.
• Production Readiness: Includes tamper-evident audit trails, cost tracking, and OpenTelemetry integration for Grafana/Datadog.